. 
. gtfpch K L= Y: CO2, dmu( Province ) nonr  global sav(ex4result,replace)
{\smallskip}
 The weight vector is (0 0 1 1)
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 The directional vector is (0 0 Y -CO2)
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{\smallskip}
 Total Factor Productivity Change:Luenberger Productivity Index (based on nonrial DDF)
    (Row: Row \# in the original data; Pdwise: periodwise)
{\smallskip}
     {\TLC}\HLI{66}{\TRC}
     {\VBAR} Row       Province   id      Pdwise     TFPCH      TECH    TECCH {\VBAR}
     {\LFTT}\HLI{66}{\RGTT}
  1. {\VBAR}   2          Anhui    1   2013{\tytilde}2014   -0.0676   -0.2281   0.1605 {\VBAR}
  2. {\VBAR}   3          Anhui    1   2014{\tytilde}2015    0.0214   -0.0597   0.0811 {\VBAR}
  3. {\VBAR}   5        Beijing    2   2013{\tytilde}2014    0.0832   -0.0000   0.0832 {\VBAR}
  4. {\VBAR}   6        Beijing    2   2014{\tytilde}2015    0.1705    0.0000   0.1705 {\VBAR}
  5. {\VBAR}   8      Chongqing    3   2013{\tytilde}2014    0.0175   -0.0564   0.0738 {\VBAR}
  6. {\VBAR}   9      Chongqing    3   2014{\tytilde}2015    0.0178   -0.1079   0.1257 {\VBAR}
  7. {\VBAR}  11         Fujian    4   2013{\tytilde}2014   -0.0378   -0.0947   0.0569 {\VBAR}
  8. {\VBAR}  12         Fujian    4   2014{\tytilde}2015    0.0640   -0.0590   0.1230 {\VBAR}
  9. {\VBAR}  14          Gansu    5   2013{\tytilde}2014   -0.1748   -0.3039   0.1291 {\VBAR}
 10. {\VBAR}  15          Gansu    5   2014{\tytilde}2015   -0.1423   -0.2188   0.0765 {\VBAR}
 11. {\VBAR}  17      Guangdong    6   2013{\tytilde}2014    0.0372   -0.1043   0.1416 {\VBAR}
 12. {\VBAR}  18      Guangdong    6   2014{\tytilde}2015    0.0316   -0.0483   0.0799 {\VBAR}
 13. {\VBAR}  20        Guangxi    7   2013{\tytilde}2014    0.0701   -0.0935   0.1636 {\VBAR}
 14. {\VBAR}  21        Guangxi    7   2014{\tytilde}2015    0.0463   -0.0685   0.1149 {\VBAR}
 15. {\VBAR}  23        Guizhou    8   2013{\tytilde}2014   -0.1899   -0.3070   0.1171 {\VBAR}
 16. {\VBAR}  24        Guizhou    8   2014{\tytilde}2015   -0.1913   -0.2681   0.0767 {\VBAR}
 17. {\VBAR}  26         Hainan    9   2013{\tytilde}2014   -0.0770   -0.1506   0.0736 {\VBAR}
 18. {\VBAR}  27         Hainan    9   2014{\tytilde}2015   -0.0974   -0.2098   0.1124 {\VBAR}
 19. {\VBAR}  29          Hebei   10   2013{\tytilde}2014   -0.0842   -0.2057   0.1215 {\VBAR}
 20. {\VBAR}  30          Hebei   10   2014{\tytilde}2015   -0.0754   -0.1438   0.0684 {\VBAR}
 21. {\VBAR}  32   Heilongjiang   11   2013{\tytilde}2014   -0.0189   -0.1510   0.1321 {\VBAR}
 22. {\VBAR}  33   Heilongjiang   11   2014{\tytilde}2015    0.0066   -0.0513   0.0579 {\VBAR}
 23. {\VBAR}  35          Henan   12   2013{\tytilde}2014   -0.0239   -0.1969   0.1731 {\VBAR}
 24. {\VBAR}  36          Henan   12   2014{\tytilde}2015    0.0449   -0.0597   0.1046 {\VBAR}
 25. {\VBAR}  38          Hubei   13   2013{\tytilde}2014   -0.0002   -0.0640   0.0638 {\VBAR}
 26. {\VBAR}  39          Hubei   13   2014{\tytilde}2015   -0.0045   -0.1038   0.0993 {\VBAR}
 27. {\VBAR}  41          Hunan   14   2013{\tytilde}2014    0.0227   -0.0417   0.0644 {\VBAR}
 28. {\VBAR}  42          Hunan   14   2014{\tytilde}2015   -0.0449   -0.1487   0.1037 {\VBAR}
 29. {\VBAR}  44        Jiangsu   15   2013{\tytilde}2014    0.0605   -0.0053   0.0657 {\VBAR}
 30. {\VBAR}  45        Jiangsu   15   2014{\tytilde}2015    0.0831   -0.0268   0.1100 {\VBAR}
 31. {\VBAR}  47        Jiangxi   16   2013{\tytilde}2014    0.0129   -0.1216   0.1345 {\VBAR}
 32. {\VBAR}  48        Jiangxi   16   2014{\tytilde}2015   -0.0358   -0.1499   0.1141 {\VBAR}
 33. {\VBAR}  50          Jilin   17   2013{\tytilde}2014    0.0620   -0.1153   0.1773 {\VBAR}
 34. {\VBAR}  51          Jilin   17   2014{\tytilde}2015    0.1629    0.0191   0.1438 {\VBAR}
 35. {\VBAR}  53       Liaoning   18   2013{\tytilde}2014    0.0780   -0.1039   0.1820 {\VBAR}
 36. {\VBAR}  54       Liaoning   18   2014{\tytilde}2015    0.1291    0.0198   0.1092 {\VBAR}
 37. {\VBAR}  56      Neimenggu   19   2013{\tytilde}2014    0.0528   -0.1069   0.1598 {\VBAR}
 38. {\VBAR}  57      Neimenggu   19   2014{\tytilde}2015    0.1649    0.0329   0.1320 {\VBAR}
 39. {\VBAR}  59        Ningxia   20   2013{\tytilde}2014   -0.3604   -0.4801   0.1197 {\VBAR}
 40. {\VBAR}  60        Ningxia   20   2014{\tytilde}2015    0.0329   -0.0555   0.0884 {\VBAR}
 41. {\VBAR}  62        Qinghai   21   2013{\tytilde}2014   -0.1070   -0.2903   0.1833 {\VBAR}
 42. {\VBAR}  63        Qinghai   21   2014{\tytilde}2015    0.0362   -0.1169   0.1531 {\VBAR}
 43. {\VBAR}  65        Shaanxi   22   2013{\tytilde}2014   -0.1201   -0.2856   0.1655 {\VBAR}
 44. {\VBAR}  66        Shaanxi   22   2014{\tytilde}2015   -0.0245   -0.1140   0.0896 {\VBAR}
 45. {\VBAR}  68       Shandong   23   2013{\tytilde}2014   -0.0162   -0.1516   0.1353 {\VBAR}
 46. {\VBAR}  69       Shandong   23   2014{\tytilde}2015   -0.0472   -0.1088   0.0616 {\VBAR}
 47. {\VBAR}  71       Shanghai   24   2013{\tytilde}2014    0.1528    0.0000   0.1528 {\VBAR}
 48. {\VBAR}  72       Shanghai   24   2014{\tytilde}2015    0.0676   -0.0000   0.0676 {\VBAR}
 49. {\VBAR}  74         Shanxi   25   2013{\tytilde}2014   -0.2466   -0.3373   0.0907 {\VBAR}
 50. {\VBAR}  75         Shanxi   25   2014{\tytilde}2015   -0.2778   -0.3393   0.0614 {\VBAR}
 51. {\VBAR}  77        Sichuan   26   2013{\tytilde}2014   -0.0004   -0.0521   0.0518 {\VBAR}
 52. {\VBAR}  78        Sichuan   26   2014{\tytilde}2015    0.0495   -0.0636   0.1131 {\VBAR}
 53. {\VBAR}  80        Tianjin   27   2013{\tytilde}2014    0.1075   -0.0275   0.1350 {\VBAR}
 54. {\VBAR}  81        Tianjin   27   2014{\tytilde}2015    0.1303    0.0530   0.0774 {\VBAR}
 55. {\VBAR}  83       Xinjiang   28   2013{\tytilde}2014   -0.2221   -0.3371   0.1150 {\VBAR}
 56. {\VBAR}  84       Xinjiang   28   2014{\tytilde}2015   -0.2232   -0.2931   0.0699 {\VBAR}
 57. {\VBAR}  86         Yunnan   29   2013{\tytilde}2014    0.0128   -0.1320   0.1448 {\VBAR}
 58. {\VBAR}  87         Yunnan   29   2014{\tytilde}2015    0.1378    0.0586   0.0792 {\VBAR}
 59. {\VBAR}  89       Zhejiang   30   2013{\tytilde}2014    0.0119   -0.0558   0.0677 {\VBAR}
 60. {\VBAR}  90       Zhejiang   30   2014{\tytilde}2015   -0.0092   -0.0996   0.0903 {\VBAR}
     {\BLC}\HLI{66}{\BRC}
Note: missing value indicates infeasible problem.
(file{\bftt{ ex4result.dta}} not found)
file{\bftt{ ex4result.dta}} saved
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Estimated Results are saved in ex4result.dta.
{\smallskip}
. 
